Biography
Dr. Shuvodeep De is a computational researcher and educator with expertise in AI-driven materials discovery, Multiphysics simulation, and large-scale design optimization. He holds a PhD in Computational Mechanical Engineering from Virginia Tech and brings a decade of research and teaching experience across national laboratories, major research universities, and startup ventures.
At Texas State, Dr. De teaches core mechanical engineering courses including CAD and Digital Manufacturing and Mechanical Behavior of Materials, while mentoring undergraduate research in robotics, and applied machine learning. He is actively advising senior design teams on advanced manufacturing systems and contributes to departmental ABET accreditation.
At Texas State, Dr. De teaches core mechanical engineering courses including CAD and Digital Manufacturing and Mechanical Behavior of Materials, while mentoring undergraduate research in robotics, and applied machine learning. He is actively advising senior design teams on advanced manufacturing systems and contributes to departmental ABET accreditation.
Research Interests
Computational Mechanics • AI in Material Discovery • Multiphysics Simulation • HPC • Finite Element Analysis (Nonlinear, Multiscale, Aeroelastic) • Simulation-Driven Design & Large-Scale Optimization • Agentic Automation
Teaching Interests
Digital Manufacturing • Machine Learning • Solid Mechanics • Computational & Numerical Methods • Thermodynamics • Applied Mathematics for Engineering Systems